Staff Software Engineer, Perception

Reposted 22 Days Ago
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Austin, TX
In-Office
Senior level
Computer Vision • Hardware • Robotics • Software • App development • Automation • Manufacturing
Come help Fox Robotics make robots that work, and enable end-to-end warehouse automation.
The Role
Develop and maintain perception software for autonomous forklifts, utilizing robotics, AI, and computer vision techniques to enhance performance and reliability.
Summary Generated by Built In

Fox Robotics is at the bleeding edge of warehouse automation, with a focus on autonomous forklifts. As the leader in this space, Fox has a clear product market fit, and a pathway to scale with giving a once-in-a-career opportunity to learn, all while working as part of a mission-driven team focused on making robots that work.

Come join a team focused on giving autonomous forklifts an understanding of the world around them. We turn sensor data into models of the world that provide a basis for action, allowing our forklifts to safely move around, manipulate objects in the environment, and perform useful work.

What you’ll do:
  • Build and maintain perception code that runs on our fleet of autonomous forklifts
  • Adapt modern research in robotics, artificial intelligence, and computer vision to solve challenging problems in robotics with a focus on performance and reliability
  • Write code in C++ and Python
  • Analyze current system weaknesses and contribute improvements that address them
  • Design and build one or more key components of a modern, scalable autonomy system
  • Deliver high quality code to ensure systems are robust and reliable
  • Work with multi modal sensor data including RGB, stereo depth, and LiDAR
What you’ll need: 
  • M.S. / Ph.D. in Robotics, Computer Science, or related field
  • 6+ years of experience
  • Familiarity with PyTorch
  • Experience with C++ and Python
  • Experience training deep convolutional neural networks
  • Experience with sensors and hardware
  • Experience with warehousing or logistics
  • Ability to find simple, robust solutions to challenging problems
Nice to have:  
  • Experience with 3D point cloud data (using both classical and deep learning techniques)
  • ML ops experience - building and maintaining modern deep learning pipelines
  • Experience deploying deep learning on the edge
  • Experience using deep learning or other learned techniques to clean up sensor data
  • Experience with photo-realistic simulators
Benefits and perks:
  • A once in a career opportunity to build, alongside colleagues who deeply care (plus robots that aren’t bad, either!)
  • Competitive salary and stock options
  • Generous healthcare options
  • Unlimited PTO
  • Other perks that connect us, including lunch on Fridays, team building activities, and more!
More About Fox Robotics We make robots that work.

Our robotic forklifts are human multipliers: They make it possible for people to do more with less while also creating safer and more efficient working conditions. Doing more with less is how we future-proof supply chain workflows, grow our economy, and provide higher-paying jobs. We make robots that work to make life better.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Top Skills

C++
Python
PyTorch
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The Company
HQ: Austin, TX
140 Employees
Year Founded: 2018

What We Do

Fox Robotics enables end-end warehouse autonomy by providing intelligent and reliable autonomous pallet handling solutions for the shipping and receiving dock— catalyzing global supply chain transformation and enhancing resiliency, cost efficiency, damage rates, safety, and quality of life for our customers.

Why Work With Us

Our robotic forklifts are human multipliers: They make it possible for people to do more with less while also creating safer and more efficient working conditions. Doing more with less is how we future-proof supply chain workflows, grow our economy, and provide higher-paying jobs. The future can be great—if we build the right tools.

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